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 Robustness of Gridded Precipitation Products in Hydrological Assessment for Vietnam River basins
Tác giả hoặc Nhóm tác giả: Thanh Nhan Duc Tran, Quang Binh Nguyen, Manh-Hung Le, Venkat Lakshmi, John Bolten, and
Aashutosh Aryal
Nơi đăng: AGU, Fall Meeting 2022; Số: 2022;Từ->đến trang: 1;Năm: 2022
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
ABSTRACT
This study conducts a comprehensive validation for seven Gridded Precipitation Products (GPPs),
including the Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation V1901 (here after APHRODITE), the Climate Hazards group Infrared Precipitation with Stations V2.0 (CHIRPS), the Global Precipitation Measurement (GPM) mission with IMERG Final Run V6.0 (IMERG), the Multi-Source Weighted-Ensemble Precipitation V2.1 (MSWEP), the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), the PERSIANN Infared Rain Rate Climate Data Records (PDIR-CDR), and the Soil Moisture to Rain Advanced SCATterometer (SM2RAIN-ASCAT). The study domain is eleven catchments with varying areas and diverse climate across Vietnam. We forced the GPPs into the hydrological model Soil and Water Assessment Tool (SWAT) to simulate streamflow and used different metrics - Kling-Gupta efficiency
(KGE), Nash–Sutcliffe efficiency (NSE), percentage of bias (PBIAS) and Root Mean Square Error (RSME) to evaluate the SWAT model performances. The preliminary results indicate that over the eleven chosen stations, the IMERG exhibited the best overall performance, followed by MSWEP, and SM2RAINASCAT. Moreover, a better representation of simulated flood peaks has been found by IMERG, which plays a vital role in the hydrological assessment. Our study is beneficial to inform decision-makers and water resources manager to select the most suitable SPE product(s). Also, we introduce a new idea to crossvalidate GPPs over chosen catchments, which would help us to better understand the calibration and validation progresses
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